Senior Data Engineer - Remote

Overview

As a Senior Data Engineer, you will be a core contributor to the development and maintenance of scalable, secure, and high-performance data pipelines, collaborating closely with product, analytics, and engineering teams to ensure reliable data availability across the organization.

In Short

• Design, develop, and deploy scalable ETL/ELT pipelines.
• Collaborate with Data Engineering Lead on best practices.
• Develop modular workflows for batch and streaming data.
• Contribute to data modeling and schema optimization.
• Implement data validation and monitoring systems.
• Support deployment using CI/CD and DevOps principles.
• Participate in code reviews and design discussions.
• Mentor junior engineers.
• Coordinate with cross-functional teams for data requirements.
• Troubleshoot pipeline and infrastructure issues.

Requirements

• 4–8 years of experience in data engineering.
• Expertise in building data pipelines using tools like Airflow, dbt, Spark, Kafka, or Beam.
• Solid understanding of data warehousing and streaming frameworks.
• Expertise in SQL and Python, or Scala, or Java.
• Experience with Google Cloud Platform (GCP).
• Familiarity with DevOps practices and CI/CD tools.
• Strong problem-solving and debugging skills.
• Excellent communication skills.
• Experience in Agile environments.
• Exposure to data security and compliance practices.

Benefits

• Remote-first work culture.
• Flexibility to work from anywhere.
• Opportunities for continuous learning and collaboration.
• Autonomy to innovate and create.
• Impactful work in employee wellness.